I am trying to return the maximum of the value of 2 fields: LastViewed and LastDownloaded AS a local variable -LastAccessed for each row, using a SQL query . These values are stored as $ H format. Is there an existing SQL command that compares two column values ? I could not find one, so I tried using a $Select statement . I got an error that said A term expected beginning with either of: identifier, constant, aggregate, $$,(,:,+....)

Here is the SQL Query I am trying to run:-

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Question
· Oct 30, 2018
MSSQL Data Warehouse

Hello,

I have been trying to pull data through a linked server in SSMS from an InterSystems Cache Database for a while, this is to enable us to join the data to other source systems in our Data Warehouse.

I have set up an ODBC connection and a linked server to the database and can execute queries through OPENQUERY in Management studio, but the data is huge (> 100million rows). So when I execute a SQL query with a WHERE clause the query just spins.

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We are trying to convert some of our SQL Service Integration Service jobs from Visual Studio to Ensemble. If we execute a Stored Procedure within SQL Server Management Studio it is returning approx 12,000 rows. However when Ensemble executes the same Stored Procedure it is only returning 250 rows.

Is there a limitation to EnsLib.SQL.Snapshot?

This is how we are calling the Stored procedure

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InterSystems IRIS 2020.1 brings a broad set of improved and new capabilities to help build important applications. In addition to the many significant performance improvements accrued through 2019.1 and 2020.1, we are introducing one of our biggest changes in recent SQL history: the Universal Query Cache. This article provides more context on its impact to SQL-based applications at a technical level.

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Article
· May 11, 2021 8m read
IRIS in Astronomy

In this article we are going to show the results of the comparision between IRIS and Postgress when handling Astronomy data.

Introduction

Since the earliest days of human civilization we have been fascinated by the sky at night. There are so many stars! Everybody has dreamed about them and fantasized about life in other planets.

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Keywords: IRIS, IntegratedML, Machine Learning, Covid-19, Kaggle

Purpose

Recently I noticed a Kaggle dataset for the prediction of whether a Covid-19 patient will be admitted to ICU. It is a spreadsheet of 1925 encounter records of 231 columns of vital signs and observations, with the last column of "ICU" being 1 for Yes or 0 for No. The task is to predict whether a patient will be admitted to ICU based on known data.

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Hello all,

I have a Recordset object which contains data from a table "XYZ".

Currently i use this object to extract data using %Get(COL1,COL2...) in a loop and than pass it to a function which inserts the data into another dynamically created Table "ABC" for each record. This takes a lot of time when 100's of records.

Is there a way i can directly copy a RecordSet to a dynamic table without looping through..?

Something like copy Recordset (COL1,COL2..)--> "ABC"

Thanks,

Jimmy

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Hello,

I'm looking to find if there is a datatype convert equivalent in Object Script to SQL convert function. Have a VarBinary string coming in from source application (which is really performing a SQL dump). The source application uses the standard SQL convert function to convert from varchar to varbinary on their side.

I know &sql(Convert()) should work in Object Script, but am wondering if there is a better way of doing this.

Getting data in via flat file (Record Map), then using data transform to transpose this data to SDA3.

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I've been accessing Cache tables from a developer/reporting side, but am now involved in a project to create a data warehouse for our application. I'm trying to find a query I can use to return the sizes of all the tables in the database, so we can identify the largest tables and handle those individually. Can someone give me a query I can run against our Cache database to return the sizes of all the tables from largest to smallest?

Thanks for the help

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Atelier Users:

Has anyone found an Eclipse plug-in that provides the capability to connect to a Caché server and give the user a way to write SQL queries using the tables from that server? I'm picturing something like a "WinSQL"-client built as an Eclipse plugin.

I've found and tried the following, but I couldn't get it to connect to my local Caché instance.

http://eclipsesql.sourceforge.net/

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Hello Community,

I would like to work in SQL developer with the tables from Caché.

Is it possible with JDBC tool?

What is the whole process in order to work in SQL developer? I have the access information to Caché, but i can only choose in SQL Developer software only Oracle or MySQL database type, therefore i think, that have to install any other tool.

Thank you in advance for your help!

br,

bálint

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Hello, I need to use IRIS to connect to an MSSQL base.
It has to be done via ODBC, I can't use JDBC at this time by client option.

I am trying to use Microsoft Driver
libmsodbcsql-13.1.so.9.2

But I can't, my attempts result in:
Connection failed.
SQLState: () NativeError: [11001] Message:

I have done all DSN configuration, and my configuration is listed in SQL Gateway Connections. I know it's working, because when I run a test with isql I have the information that connects to the bank.

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I have a class that has a property calledTags (like DescriptiveWords, but tags), where multiple tags are possible. I am trying to decide on list of Objects vs. array of Objects.

Based on this post: https://community.intersystems.com/post/querying-list-property-sql, sounds like using an array of Objects is the better way to go. Indeed, I already noticed that it's not possible to have duplicates when using an array of Objects.

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I would like to start a discussion regarding Caché Objects and Caché SQL.

It is my understanding that the creators of Caché Objects see Caché SQL as the reporting arm of Objects and as such SQL is essential to Caché Objects.

I once met a Caché Objects programmer who was writing code to $Order through the Globals because that person thought that Caché SQL was too slow and inefficient. I attempted to convince the person otherwise.

So, what say you? Is SQL essential to Caché Objects?

Or

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A More Industrial-Looking Global Storage Scheme

In the first article in this series, we looked at the entity–attribute–value (EAV) model in relational databases, and took a look at the pros and cons of storing those entities, attributes and values in tables. We learned that, despite the benefits of this approach in terms of flexibility, there are some real disadvantages, in particular a basic mismatch between the logical structure of the data and its physical storage, which causes various difficulties.

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This is the second piece in our series on 2021.2 SQL enhancements delivering an adaptive, high-performance SQL experience. In this article, we'll zoom in on the innovations in gathering Table Statistics, which are of course the primary input for the Run Time Plan Choice capability we described in the previous article.

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Introduction

This article is intended to be a simple tutorial on how to create ODBC connections and working with them, since I found starting with them a little bit confused, but I had amazing people to take my hand and walk me through it, and I think everyone deserves that kind of help too.
I'm going to divide each little part in sections, so feel free to jump to the one you feel the need to, although I recommend reading everything.

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Hi, folks!

Is there any way to use $CASE or $SELECT functionality in SQL SELECT query?

E.g. something like this:

SELECT product, $CASE(status,"New":field1,"Payed":field2) as data from sales

To see either in data column either field1 or field2 values in regard of status value.

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This tells me that there is no timezone offset on this table/field:

Select TOP 1 GETDATE() as Now, TimeCreated FROM ens.messageheader ORDER BY TimeCreated DESC;
Now TimeCreated
------------------- -------------------
2016-10-18 16:16:49 2016-10-18 16:16:31
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Article
· Aug 8, 2017 1m read
Outperforming PostgreSQL and MySQL

In a previous exercise, I was able to show the power of Caché.
A medium-designed set of interdependent tables with some GB of data.
URLs cross reference over some million pages resulting in ~3 billion records

Competition was between

  • Caché
  • PostgreSQL
  • MySQL

Criteria were Speed + Storage consumption
I composed a customized loader fed over a "raw" TCP connection
Mapping the "objects" into the final table by directly writing to Global Storage.,

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